Senior Software Engineer-Engineering Enablement

Responsibilities

Since H-E-B Digital Technology's inception, we've been investing heavily in our customers' digital experience, reinventing how they find inspiration from food, make food decisions, and ultimately get food into their homes. This is an exciting time to join H-E-B Digital-we're using the best available technologies to deliver modern, engaging, reliable, and scalable experiences to meet the needs of our growing audience.

At H‑E‑B, we’re a technology‑powered company on a mission to make the lives of Texans better. Our Data Solutions organization enables innovation through scalable software systems, AI platforms, and cloud data infrastructure. With Tech Hubs in San Antonio, Austin, and Dallas, we are shaping the future of omnichannel retail through engineering excellence, ownership, and quality.

Our Data Solutions Teams Specialize In

• Data Modeling & Governance
• Data Pipelines, Engineering, and Transformation
• Data Movement & Streaming
• Databases & Cloud Infrastructure (Private & Public)
• Machine Learning & AI Platform Enablement

Staff Software Engineer - Data Solutions (AI Platform / GCP)

We’re looking for experienced Staff Software Engineers who operate as technical leaders, capable of setting direction, designing platforms at scale, and influencing architecture across teams. You will help shape enterprise data and AI platforms that power analytics, machine learning, and real‑time decision‑making across H‑E‑B.

This role expects deep technical expertise, strategic thinking, and strong cross‑team collaboration, with impact beyond a single product or squad.

Do You Have a

HEART FOR PEOPLE... you're willing to facilitate solutions with multiple engineers, provide upward communication, and mentor others?

HEAD FOR BUSINESS... you consistently demonstrate and uphold the standards of coding, infrastructure, and process?

PASSION FOR RESULTS... you're capable of high-velocity contributions in multiple technical domains?

We Are Looking For

• 8+ years of experience related to software engineering

What You’ll Do

• Lead the design and evolution of large‑scale, cloud‑native data and AI platforms
• Apply an MLOps and platform engineering mindset, enabling the full ML lifecycle (data ingestion, training, deployment, monitoring, iteration)
• Define and drive architecture standards, patterns, and best practices for AI‑enabled systems
• Build, review, and support production‑critical services, APIs, and microservices
• Partner closely with Data Science, Product, Application, and Analytics leaders to translate business needs into scalable technical solutions
• Own systems end‑to‑end, including reliability, observability, performance, cost efficiency, and security
• Act as a mentor and technical multiplier—review designs and code, coach senior engineers, and raise the engineering bar
• Influence technical direction across teams and contribute to long‑term platform strategy

Technical Skills

• Advanced proficiency in Python and SQL
• Strong understanding of data structures, algorithms, and distributed system design
• Deep experience designing cloud‑native solutions in GCP, including Vertex AI or comparable ML platforms
• Hands‑on experience with microservices architecture, REST APIs, Kubernetes, and Kafka or similar streaming platforms
• Strong experience with CI/CD pipelines, infrastructure as code (Terraform), and automated testing
• Comfortable working with developer tooling such as Git, Jira, and Confluence

What is your background?

• A related degree or work experience, preferably a Bachelors degree in related work stream
• 8+ years of experience related to software engineering
• Experience in Lean Startup or Agile development methodologies
• Experience working in large scale cloud infrastructure, large data sets, and mission critical SLAs
• Experience in Advanced SQL / Python.
• Have a data engineering certification from any of the cloud technologies

What Makes You a Great Fit

• 8+ years of progressive software engineering experience
• Proven experience leading data platforms, AI systems, or ML‑enabled services at scale
• Ability to operate in ambiguous problem spaces and drive clarity through technical leadership
• Strong communication skills, with the ability to influence across teams and disciplines
• A growth mindset and passion for cloud, AI, and emerging technologies
• Commitment to engineering excellence, operational rigor, and customer impact
• Desire to be part of a Partner‑owned company where leadership and ownership are core values

Can you...

• Function in a fast-paced environment with the ability to work from home and / or office
• Work extended hours; sit for extended periods

The work environment characteristics described here are representative of those a Partner encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.